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DataSynth: Generating Synthetic Data using Declarative Constraints

Summary: DataSynth uses a declarative, cardinality-constraint abstraction to specify complex synthetic data characteristics. Efficient generation algorithms enable realistic DB instances for testing, masking, and benchmarking; demo on two real-world scenarios. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10407
Venue
VLDB
Year
2011
Pagerank
5.3292816e-05
Overall Rank
9,028 | 38.07%
DOI
10.14778/3402755.3402785

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{arasu_vldb11,
        title = {{DataSynth: Generating Synthetic Data using Declarative Constraints}},
        author = {Arasu, Arvind and Kaushik, Raghav and Li, Jian},
        journal = {PVLDB},
        series = {{VLDB} '11},
        volume = {4},
        number = {12},
        pages = {1418--1421},
        doi = {10.14778/3402755.3402785},
        url = {https://doi.org/10.14778/3402755.3402785},
        year = {2011}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
9,985 Projection-Compliant Database Generation 2022 VLDB 5.1842045e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
105 Quickly Generating Billion-Record Synthetic Databases 1994 SIGMOD 0.00033877899
365 STHoles: A Multidimensional Workload-Aware Histogram 2001 SIGMOD 0.00020041735
734 QAGen: Generating Query-Aware Test Databases 2007 SIGMOD 0.00014525584
938 Flexible Database Generators 2005 VLDB 0.00013089351
2,369 Data Generation using Declarative Constraints 2011 SIGMOD 8.682429e-05
3,994 Generating Databases for Query Workloads 2010 VLDB 6.9686731e-05
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